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CS 326A: Motion Planning ai.stanford.edu/~latombe/cs326/2007/index.htm Collision Detection and Distance Computation
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Two Main Approaches Hierarchical bounding volume hierarchies (pre-computation) Feature tracking (pairs of closest features)
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Enclose objects into bounding volumes (spheres or boxes) Check the bounding volumes first Bounding Volume Hierarchy Method
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Enclose objects into bounding volumes (spheres or boxes) Check the bounding volumes first Decompose an object into two Bounding Volume Hierarchy Method
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BVH in 3D
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Collision Detection Methods Bounding Volume Hierarchy (BVH) methods: Good for few moving objects with complex geometry Feature-Tracking methods: Good for few objects with moderate geometric complexity
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Probabilistic Roadmaps Few moving objects, but complex geometry
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Static vs. Dynamic Collision Checking C-space
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Combining Bounding Volume and Feature Tracking Methods S.A. Ehmann and M.C. Lin. Accurate and Fast Proximity Queries Between Polyhedra Using Convex Surface Decomposition. Proc. 2001 Eurographics, Vol. 20, No. 3, pp. 500-510, 2001. Use BVH to quickly identify close pairs of polyhedra Use feature-tracking to check these pairs
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Combining Bounding Volume and Feature Tracking Methods T.Y. Li and J.S. Chen. 1998. Incremental 3D Collision Detection with Hierarchical Data Structures,Proc. ACM Symp. on Virtual Reality Software and Technology, p.139-144, Taipei, Taiwan
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Collision Detection Methods Bounding Volume Hierarchy (BVH) methods: good for few moving objects with complex geometry Feature-Tracking methods: Good for few objects with moderate geometric complexity Grid method: Good for many simple moving objects of about the same size (e.g., many moving discs/balls with similar radii)
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Crowd Simulation Many moving objects, but simple geometry (discs) Need to also compute distances (vision, sounds)
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Grid Method d Subdivide space into a regular grid cubic of square bins Index each object in a bin
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Grid Method d Running time is proportional to number of moving objects
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